Abstract
The in-depth understanding of the reason why users contribute to the check-in records is of great value in a variety of applications, such as transportation system design, information recommendation, and business intelligence. The widespread application of social media has brought about large-scale and fined-grained data for the exploration of user check-in records from multi-perspectives. However, it is still an arduous task to gain insight into users’ check-in behavior due to the complexity and multi-dimensions of the data nature. In this paper, a novel visual analytics system, socialRadius, is proposed to interactively explore spatio-temporal features of check-in behaviors for particular groups and active users extracted from the group. The design in the paper focuses on two major characteristics of check-in data for the specific group: spatio-temporal features and check-in activities. The integration of visualization techniques with new designs has offered us the opportunities to explore and identify the potential patterns based on these two major components. Besides, case studies on real check-in data demonstrate the effectiveness of the system in exploring spatio-temporal features for specific groups.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Andrienko, G., Andrienko, N.: Spatio-temporal aggregation for visual analysis of movements. In: IEEE Symposium on Visual Analytics Science and Technology, VAST 2008, pp. 51–58. IEEE (2008)
Andrienko, G., Andrienko, N., Bremm, S., Schreck, T., Von Landesberger, T., Bak, P., Keim, D.: Space-in-time and time-in-space self-organizing maps for exploring spatiotemporal patterns. In: Computer Graphics Forum, vol. 29, pp. 913–922. Wiley Online Library (2010)
Chang, J., Sun, E.: Location 3: how users share and respond to location-based data on social networking sites. In: Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media, pp. 74–80 (2011)
Cramer, H., Rost, M., Holmquist, L.E.: Performing a check-in: emerging practices, norms and ‘conflicts’ in location-sharing using foursquare. In: Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services, pp. 57–66. ACM (2011)
Cranshaw, J., Schwartz, R., Hong, J.I., Sadeh, N.: The livehoods project: utilizing social media to understand the dynamics of a city. In: International AAAI Conference on Weblogs and Social Media, p. 58 (2012)
Cranshaw, J., Toch, E., Hong, J., Kittur, A., Sadeh, N.: Bridging the gap between physical location and online social networks. In: Proceedings of the 12th ACM International Conference on Ubiquitous Computing, pp. 119–128. ACM (2010)
Crnovrsanin, T., Muelder, C., Correa, C., Ma, K.L.: Proximity-based visualization of movement trace data. In: IEEE Symposium on Visual Analytics Science and Technology, VAST 2009, pp. 11–18. IEEE (2009)
Demšar, U., Buchin, K., Cagnacci, F., Safi, K., Speckmann, B., Van de Weghe, N., Weiskopf, D., Weibel, R.: Analysis and visualisation of movement: an interdisciplinary review. Mov. Ecol. 3(1), 1–24 (2015)
Gordon, E., de Souza e Silva, A.: Net Locality: Why Location Matters in a Networked World. Wiley, Malden (2011)
Kapler, T., Wright, W.: Geotime information visualization. Inf. Vis. 4(2), 136–146 (2005)
Kim, G., Xing, E.P.: Visualizing brand associations from web community photos. In: Proceedings of the 7th ACM International Conference on Web Search and Data Mining, pp. 623–632. ACM (2014)
Lindqvist, J., Cranshaw, J., Wiese, J., Hong, J., Zimmerman, J.: I’m the mayor of my house: examining why people use foursquare-a social-driven location sharing application. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 2409–2418. ACM (2011)
Noulas, A., Scellato, S., Mascolo, C., Pontil, M.: Exploiting semantic annotations for clustering geographic areas and users in location-based social networks. Soc. Mob. Web 11, 02 (2011)
Scheepens, R., Willems, N., van de Wetering, H., Van Wijk, J.J.: Interactive visualization of multivariate trajectory data with density maps. In: 2011 IEEE Pacific Visualization Symposium (PacificVis), pp. 147–154. IEEE (2011)
Tominski, C., Schumann, H., Andrienko, G., Andrienko, N.: Stacking-based visualization of trajectory attribute data. IEEE Trans. Vis. Comput. Graph. 18(12), 2565–2574 (2012)
Wang, M., Qin, L., Hu, Q.: Data mining and visualization research of check-in data. In: 2012 20th International Conference on Geoinformatics (GEOINFORMATICS), pp. 1–4. IEEE (2012)
Acknowledgments
This research was supported in part by the National Natural Science Foundation of China, Grant No. 61502083. The authors wish to thank the anonymous reviewers for their valuable comments.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing AG
About this paper
Cite this paper
Wen, C., Teng, Z., Chen, J., Wu, Y., Gong, R., Pu, J. (2016). socialRadius: Visual Exploration of User Check-in Behavior Based on Social Media Data. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2016. Lecture Notes in Computer Science(), vol 9929. Springer, Cham. https://doi.org/10.1007/978-3-319-46771-9_39
Download citation
DOI: https://doi.org/10.1007/978-3-319-46771-9_39
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-46770-2
Online ISBN: 978-3-319-46771-9
eBook Packages: Computer ScienceComputer Science (R0)